3 citations · 3 across the 1 of their papers we have counts for
9 papers
Deep R-Learning for Continual Area Sweeping
Rishi Shah, Yuqian Jiang, Justin Hart +1
Coverage path planning is a well-studied problem in robotics in which a robot must plan a path that passes through every point in a given area repeatedly, usually with a uniform fr…
Solving Service Robot Tasks: UT Austin Villa@Home 2019 Team Report
Rishi Shah, Yuqian Jiang, Haresh Karnan +8
RoboCup@Home is an international robotics competition based on domestic tasks requiring autonomous capabilities pertaining to a large variety of AI technologies. Research challenge…
Desiderata for Planning Systems in General-Purpose Service Robots
Nick Walker, Yuqian Jiang, Maya Cakmak +1
General-purpose service robots are expected to undertake a broad range of tasks at the request of users. Knowledge representation and planning systems are essential to flexible aut…
Improving Grounded Natural Language Understanding through Human-Robot Dialog
Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov +6
Natural language understanding for robotics can require substantial domain- and platform-specific engineering. For example, for mobile robots to pick-and-place objects in an enviro…
Integrating Task-Motion Planning with Reinforcement Learning for Robust Decision Making in Mobile Robots
Yuqian Jiang, Fangkai Yang, Shiqi Zhang +1
Task-motion planning (TMP) addresses the problem of efficiently generating executable and low-cost task plans in a discrete space such that the (initially unknown) action costs are…
LAAIR: A Layered Architecture for Autonomous Interactive Robots
Yuqian Jiang, Nick Walker, Minkyu Kim +6
When developing general purpose robots, the overarching software architecture can greatly affect the ease of accomplishing various tasks. Initial efforts to create unified robot sy…